Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement Learning
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement Learning ; volume:8 ; number:1 ; day:22 ; month:5 ; year:2024 ; pages:1-25 ; date:12.2024
Computing and software for big science ; 8, Heft 1 (22.5.2024), 1-25, 12.2024
- Urheber
-
Angloher, G.
Banik, S.
Benato, G.
Bento, A.
Bertolini, A.
Breier, R.
Bucci, C.
Burkhart, J.
Canonica, L.
D’Addabbo, A.
Lorenzo, S. Di
Einfalt, L.
Erb, A.
v. Feilitzsch, F.
Fichtinger, S.
Fuchs, D.
Garai, A.
Ghete, V. M.
Gorla, P.
Guillaumon, P. V.
Gupta, S.
Hauff, D.
Ješkovský, M.
Jochum, J.
Kaznacheeva, M.
Kinast, A.
Kuckuk, S.
Kluck, H.
Kraus, H.
Langenkämper, A.
Mancuso, M.
Marini, L.
Mauri, B.
Meyer, L.
Mokina, V.
Niedermayer, K.
Olmi, M.
Ortmann, T.
Pagliarone, C.
Pattavina, L.
Petricca, F.
Potzel, W.
Povinec, P.
Pröbst, F.
Pucci, F.
Reindl, F.
Rothe, J.
Schäffner, K.
Schieck, J.
Schönert, S.
Schwertner, C.
Stahlberg, M.
Stodolsky, L.
Strandhagen, C.
Strauss, R.
Usherov, I.
Wagner, F.
Wagner, V.
Willers, M.
Zema, V.
Heitzinger, C.
Waltenberger, W.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s41781-024-00119-y
- URN
-
urn:nbn:de:101:1-2408011346565.336260149388
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 14.08.2025, 11:00 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Angloher, G.
- Banik, S.
- Benato, G.
- Bento, A.
- Bertolini, A.
- Breier, R.
- Bucci, C.
- Burkhart, J.
- Canonica, L.
- D’Addabbo, A.
- Lorenzo, S. Di
- Einfalt, L.
- Erb, A.
- v. Feilitzsch, F.
- Fichtinger, S.
- Fuchs, D.
- Garai, A.
- Ghete, V. M.
- Gorla, P.
- Guillaumon, P. V.
- Gupta, S.
- Hauff, D.
- Ješkovský, M.
- Jochum, J.
- Kaznacheeva, M.
- Kinast, A.
- Kuckuk, S.
- Kluck, H.
- Kraus, H.
- Langenkämper, A.
- Mancuso, M.
- Marini, L.
- Mauri, B.
- Meyer, L.
- Mokina, V.
- Niedermayer, K.
- Olmi, M.
- Ortmann, T.
- Pagliarone, C.
- Pattavina, L.
- Petricca, F.
- Potzel, W.
- Povinec, P.
- Pröbst, F.
- Pucci, F.
- Reindl, F.
- Rothe, J.
- Schäffner, K.
- Schieck, J.
- Schönert, S.
- Schwertner, C.
- Stahlberg, M.
- Stodolsky, L.
- Strandhagen, C.
- Strauss, R.
- Usherov, I.
- Wagner, F.
- Wagner, V.
- Willers, M.
- Zema, V.
- Heitzinger, C.
- Waltenberger, W.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Deep reinforcement learning for optimal building energy system operation
Optimal operation of reverse osmosis desalination process with deep reinforcement learning methods
Deep reinforcement learning for the optimal placement of cryptocurrency limit orders
Stable deep reinforcement learning
Operation of copper cavities at cryogenic temperatures
A projected primal-dual gradient optimal control method for deep reinforcement learning
Deep reinforcement learning extracts the optimal sepsis treatment policy from treatment records
Interpolation assisted deep reinforcement learning
Explainability in Deep Reinforcement Learning
Bayesian Deep Reinforcement Learning via Deep Kernel Learning
Autonomous Driving with Deep Reinforcement Learning
Deep reinforcement learning in dialog systems
Deep reinforcement learning for optimal building energy system operation
Optimal operation of reverse osmosis desalination process with deep reinforcement learning methods
Deep reinforcement learning for the optimal placement of cryptocurrency limit orders
Stable deep reinforcement learning
Operation of copper cavities at cryogenic temperatures
A projected primal-dual gradient optimal control method for deep reinforcement learning
Deep reinforcement learning extracts the optimal sepsis treatment policy from treatment records
Interpolation assisted deep reinforcement learning
Explainability in Deep Reinforcement Learning
Bayesian Deep Reinforcement Learning via Deep Kernel Learning
Autonomous Driving with Deep Reinforcement Learning
Deep reinforcement learning in dialog systems
Deep reinforcement learning for optimal building energy system operation
Optimal operation of reverse osmosis desalination process with deep reinforcement learning methods
Deep reinforcement learning for the optimal placement of cryptocurrency limit orders
Stable deep reinforcement learning
Operation of copper cavities at cryogenic temperatures
A projected primal-dual gradient optimal control method for deep reinforcement learning
Deep reinforcement learning extracts the optimal sepsis treatment policy from treatment records
Interpolation assisted deep reinforcement learning
Explainability in Deep Reinforcement Learning
Bayesian Deep Reinforcement Learning via Deep Kernel Learning
Autonomous Driving with Deep Reinforcement Learning